
from ..utils import DummyObject, requires_backends

class 							_UpperCamelCase					(       metaclass=_A	):






			'''simple docstring'''

			__UpperCamelCase   :    Tuple          =			["""torch""", """scipy"""]

			def __init__(							self			:							List[Any]    ,						*snake_case_			:							List[Any]    ,						**snake_case_			:							Dict   ):
							requires_backends(self    ,						["""torch""", """scipy"""]   )

			@classmethod
			def    lowerCAmelCase__						(							cls			:							Optional[Any]    ,						*snake_case_			:							List[Any]    ,						**snake_case_			:							List[Any]   ):
							requires_backends(cls    ,						["""torch""", """scipy"""]   )




			@classmethod
			def    lowerCAmelCase__						(							cls			:							Tuple    ,						*snake_case_			:							Any    ,						**snake_case_			:							Optional[Any]   ):
							requires_backends(cls    ,						["""torch""", """scipy"""]   )








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCamelCase_    :			Optional[int]    =	{
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCamelCase_    :			Union[str, Any]    =	[
							    """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GraphormerForGraphClassification""",
							    """GraphormerModel""",
							    """GraphormerPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_graphormer import (
														    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GraphormerForGraphClassification,
														    GraphormerModel,
														    GraphormerPreTrainedModel,
														)


else:
							import sys

							lowerCamelCase_    :			Optional[Any]    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






